Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Marino Alessandro"'
Autor:
Lippi, Martina, Welle, Michael C., Moletta, Marco, Marino, Alessandro, Gasparri, Andrea, Kragic, Danica
Visual planning methods are promising to handle complex settings where extracting the system state is challenging. However, none of the existing works tackles the case of multiple heterogeneous agents which are characterized by different capabilities
Externí odkaz:
http://arxiv.org/abs/2403.16781
The requirements of modern production systems together with more advanced robotic technologies have fostered the integration of teams comprising humans and autonomous robots. However, along with the potential benefits also comes the question of how t
Externí odkaz:
http://arxiv.org/abs/2210.14036
Publikováno v:
In Journal of Nuclear Materials January 2025 603
Visual action planning particularly excels in applications where the state of the system cannot be computed explicitly, such as manipulation of deformable objects, as it enables planning directly from raw images. Even though the field has been signif
Externí odkaz:
http://arxiv.org/abs/2203.13034
Autor:
Lippi, Martina, Marino, Alessandro
Publikováno v:
IFAC-PapersOnLine, Volume 51, Issue 22, Pages 190-196, 2018
In this paper, a strategy to handle the human safety in a multi-robot scenario is devised. In the presented framework, it is foreseen that robots are in charge of performing any cooperative manipulation task which is parameterized by a proper task fu
Externí odkaz:
http://arxiv.org/abs/2107.07921
Publikováno v:
In Systems & Control Letters April 2024 186
This paper considers a scenario where a robot and a human operator share the same workspace, and the robot is able to both carry out autonomous tasks and physically interact with the human in order to achieve common goals. In this context, both inten
Externí odkaz:
http://arxiv.org/abs/2106.06781
Autor:
Lippi, Martina, Marino, Alessandro
In this work, we address a task allocation problem for human multi-robot settings. Given a set of tasks to perform, we formulate a general Mixed-Integer Linear Programming (MILP) problem aiming at minimizing the overall execution time while optimizin
Externí odkaz:
http://arxiv.org/abs/2106.06772
Autor:
Lippi, Martina, Poklukar, Petra, Welle, Michael C., Varava, Anastasia, Yin, Hang, Marino, Alessandro, Kragic, Danica
We present a framework for visual action planning of complex manipulation tasks with high-dimensional state spaces, focusing on manipulation of deformable objects. We propose a Latent Space Roadmap (LSR) for task planning which is a graph-based struc
Externí odkaz:
http://arxiv.org/abs/2103.02554
Autor:
Lippi, Martina, Poklukar, Petra, Welle, Michael C., Varava, Anastasiia, Yin, Hang, Marino, Alessandro, Kragic, Danica
We present a framework for visual action planning of complex manipulation tasks with high-dimensional state spaces such as manipulation of deformable objects. Planning is performed in a low-dimensional latent state space that embeds images. We define
Externí odkaz:
http://arxiv.org/abs/2003.08974